Compact model from the self-improving Ornith family for agentic coding.
DeepSeek's cost-efficient V4.1 tier and the first model built on the Causal Encoder-Decoder (CED) architecture: a 552B MoE activating 8B parameters on input and 16B on output.
No shared demos for these models yet.
No captured outputs for these models yet.
This model hasn't been benchmarked yet.
Both Ornith 9B and DeepSeek V4.1 Flash are capable AI models. The best choice depends on your specific use case: consider pricing, context window, speed, and which capabilities (vision, reasoning, audio) you need.
DeepSeek V4.1 Flash has a larger context window: Ornith 9B supports 131K tokens vs DeepSeek V4.1 Flash at 1M tokens.
DeepSeek V4.1 Flash supports vision/image input, but Ornith 9B does not.
Key differences: only DeepSeek V4.1 Flash supports vision input; only DeepSeek V4.1 Flash offers extended reasoning mode. Compare full specs on this page.
If cost is your priority, choose the cheaper option. If you need the highest intelligence for complex tasks, pick the higher-scoring model. For long documents or codebases, choose the larger context window. You can try both Ornith 9B and DeepSeek V4.1 Flash for free on idapt.app to see which performs better for your specific needs.